Share Email Print
cover

Proceedings Paper

Evaluation of a novel label-free photonic-crystal biosensor imaging system for the detection of prostate cancer cells
Author(s): Frank DeLuna; XiaoFie Ding; Lu-Zhe Sun; Jing Yong Ye
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Biomarker screening for prostate-specific antigen (PSA) is the current clinical standard for detection of prostate cancer. However this method has shown many limitations, mainly in its specificity, which can lead to a high false positive rate. Thus, there is a growing need in developing a more specific detection system for prostate cancer. Using a Photonic- Crystal-based biosensor in a Total-Internal-Reflection (PC-TIR) configuration, we demonstrate the use of refractive index (RI) to accomplish label-free detection of prostate cancer cells against non-cancerous prostate epithelial cells. The PC-TIR biosensor possesses an open microcavity, which in contrast to traditional closed microcavities, allows for easier access of analyte molecules or cells to interact with its sensing surface. In this study, an imaging system was designed using the PC-TIR biosensor to quantify cell RI as the contrast parameter for prostate cancer detection. Non-cancerous BPH-1 prostate epithelial cells and prostate cancer PC-3 cells were placed on a single biosensor and measured concurrently. Recorded image data was then analyzed through a home-built MatLab program. Results demonstrate that RI is a suitable variable for differentiation between prostate cancer cells and non-cancerous prostate epithelial cells. Our study shows clinical potential in utilizing RI test for the detection of prostate cancer.

Paper Details

Date Published: 16 February 2017
PDF: 7 pages
Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 100681H (16 February 2017); doi: 10.1117/12.2249630
Show Author Affiliations
Frank DeLuna, The Univ. of Texas at San Antonio (United States)
XiaoFie Ding, The Univ. of Texas Health Science Ctr. at San Antonio (United States)
Lu-Zhe Sun, The Univ. of Texas Health Science Ctr. at San Antonio (United States)
Jing Yong Ye, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 10068:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

© SPIE. Terms of Use
Back to Top